Clinical Utility of Screening for Anxiety and Depression in Children with Tourette Syndrome.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Tourette syndrome (TS) is often co-morbid with attention deficit hyperactivity disorder (ADHD) and obsessive compulsive disorder (OCD). Studies of TS, anxiety and depression have found variable results depending on study methodology and sample characteristics. Our aim was to examine the clinical utility of routine screening for anxiety and depression in children with TS. METHODS: Using a clinic-based sample, we evaluated the proportion of children with TS meeting diagnostic criteria for ADHD, OCD, generalized anxiety disorder (GAD), separation anxiety disorder (SAD), and major depressive disorder (MDD); the frequency of above average anxiety and depressive symptoms using the Multidimensional Anxiety Scale for Children (MASC) and the Children's Depression Inventory (CDI); and the association between diagnoses and symptom severity. RESULTS: One hundred twenty six children were included (mean age 10.7 years). The most common comorbid disorder was ADHD (37%), followed by GAD (21%), OCD (10%), MDD (2%) and SAD (2%). On the MASC, the separation anxiety/panic subscale score was higher than all other subscale scores (p<0.0001). Clinically significant anxiety symptoms were present in 20% of the sample based on the MASC Anxiety Disorders Index, while 6% were identified as potentially clinically depressed based on the CDI Total Score. Yale Global Tic Severity Scale scores were positively correlated with total scores on the MASC (r=0.22, p=0.03) and CDI (r=0.37, p=0.0002). CONCLUSIONS: Routine screening children with TS for anxiety is warranted given the rate of comorbidity. Screening for depression in TS will have a higher yield in adolescents, adults, and children with more severe tics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it